BERD Consulting

Fee Based Biostatistics Consulting

In addition to the free resources available to all iRISE members, the Faculty & Staff of the Division of Biostatistics are available to consult on a fee basis for both UTHSC & Non-UTHSC clients. After an initial free consultation, investigators will be provided with an estimate outlining the project's scope, timeline, and projected cost.


Our PhD and MS level biostatisticians are highly trained in a range of statistical and analytic methods, including:

  • Longitudinal data analysis
  • ANOVA, regression, logistic regression
  • Bayesian data analyses
  • Sample size and power estimation
  • Statistical genomics
  • Survival analyses
  • Meta-analysis
  • Principal component and factor analysis
  • Path modeling
  • Structural equation modeling
  • Cluster analysis
  • Complex survey data analysis
  • Statistical simulations and graphics
  • Profile analysis
  • Gene expression data analysis
  • Mixed effects models
  • Generalized Estimating Equations (GEE)
  • Propensity Score Matching (PSM)
  • Evaluation of medical tests for classification and prediction
  • Estimation of median lethal doses (LD50)/quantal dose-response curves


Please click here for additional information on our rates.

Biostatisticians & Epidemiologists

Associate Professor of Epidemiology, University of Memphis Xinhua Yu, MD, PhD, MStat, is an Assistant Professor of Epidemiology at the School of Public Health, University of Memphis. He earned a medical degree in preventive medicine from Shanghai Medical University (now College of Medicine at Fudan University) in Shanghai, China, and a PhD in epidemiology and MStat in statistics from the University of Minnesota at Twin Cities campus. Dr. Yu has extensive experience in cardiovascular disease epidemiology, obesity, and physical activity. His recent research interests are clinical epidemiology especially cancer epidemiology.
Professor and Chief of Biostatistics, Preventive Medicine Śaunak Sen, Phd, is Professor and Chief of Biostatistics in the Department of Preventive Medicine at the University of Tennessee Health Science Center. His specialties are statistical genetics and the analysis of high-dimensional data. He has contributed to statistical and computational methods for genetic analysis in model organism and admixed populations. He obtained his PhD from the University of Chicago; after postdoctoral stints at Stanford University and the Jackson Laboratory, he spent 12 years on the faculty at UCSF, before joining UTHSC in 2015. He has served on grant review panels for NIH and other agencies; he is an associate editor for the journal Genetics.
Click Here for a complete list of BERD Investigators

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